Overview

Dataset statistics

Number of variables18
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory698.2 KiB
Average record size in memory714.9 B

Variable types

CAT9
NUM8
BOOL1

Reproduction

Analysis started2020-06-18 15:28:39.351939
Analysis finished2020-06-18 15:28:47.034468
Duration7.68 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

deceased_indicator has constant value "N" Constant
country has constant value "Australia" Constant
first_name has a high cardinality: 940 distinct values High cardinality
last_name has a high cardinality: 961 distinct values High cardinality
Age is highly correlated with DOBHigh correlation
DOB is highly correlated with AgeHigh correlation
Value is highly correlated with RankHigh correlation
Rank is highly correlated with ValueHigh correlation
first_name is uniformly distributed Uniform
last_name is uniformly distributed Uniform
address has unique values Unique

Variables

first_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count940
Unique (%)94.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Mandie
 
3
Rozamond
 
3
Dorian
 
3
Cissiee
 
2
Sada
 
2
Other values (935)
987
ValueCountFrequency (%) 
Mandie30.3%
 
Rozamond30.3%
 
Dorian30.3%
 
Cissiee20.2%
 
Sada20.2%
 
Renie20.2%
 
Cami20.2%
 
Marcelia20.2%
 
Cristen20.2%
 
Tanya20.2%
 
Nicol20.2%
 
Tannie20.2%
 
Jesse20.2%
 
Dmitri20.2%
 
Deirdre20.2%
 
Daisy20.2%
 
Anthony20.2%
 
Corinna20.2%
 
Latrena20.2%
 
Harman20.2%
 
Wheeler20.2%
 
Muffin20.2%
 
Geoff20.2%
 
Leticia20.2%
 
Farlie20.2%
 
Other values (915)94794.7%
 

Length

Max length13
Median length6
Mean length6.087
Min length2

Overview of Unicode Properties

Unique unicode characters52
Unique unicode categories (?)3
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e70211.5%
 
a63110.4%
 
i5669.3%
 
n4888.0%
 
r4347.1%
 
l4146.8%
 
o3035.0%
 
t2233.7%
 
d1933.2%
 
y1682.8%
 
s1682.8%
 
h1402.3%
 
u1081.8%
 
c991.6%
 
m921.5%
 
A881.4%
 
C801.3%
 
M751.2%
 
b741.2%
 
D711.2%
 
g711.2%
 
S641.1%
 
R631.0%
 
L611.0%
 
B560.9%
 
Other values (27)65510.8%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter508683.6%
 
Uppercase Letter100016.4%
 
Dash Punctuation1< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
A888.8%
 
C808.0%
 
M757.5%
 
D717.1%
 
S646.4%
 
R636.3%
 
L616.1%
 
B565.6%
 
K545.4%
 
G545.4%
 
T434.3%
 
J424.2%
 
E414.1%
 
F333.3%
 
H333.3%
 
N303.0%
 
P292.9%
 
W232.3%
 
O171.7%
 
I151.5%
 
V131.3%
 
Z70.7%
 
Y40.4%
 
Q30.3%
 
X10.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e70213.8%
 
a63112.4%
 
i56611.1%
 
n4889.6%
 
r4348.5%
 
l4148.1%
 
o3036.0%
 
t2234.4%
 
d1933.8%
 
y1683.3%
 
s1683.3%
 
h1402.8%
 
u1082.1%
 
c991.9%
 
m921.8%
 
b741.5%
 
g711.4%
 
k551.1%
 
v390.8%
 
p310.6%
 
f270.5%
 
w240.5%
 
z190.4%
 
x110.2%
 
q40.1%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-1100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin6086> 99.9%
 
Common1< 0.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e70211.5%
 
a63110.4%
 
i5669.3%
 
n4888.0%
 
r4347.1%
 
l4146.8%
 
o3035.0%
 
t2233.7%
 
d1933.2%
 
y1682.8%
 
s1682.8%
 
h1402.3%
 
u1081.8%
 
c991.6%
 
m921.5%
 
A881.4%
 
C801.3%
 
M751.2%
 
b741.2%
 
D711.2%
 
g711.2%
 
S641.1%
 
R631.0%
 
L611.0%
 
B560.9%
 
Other values (26)65410.7%
 

Most frequent Common characters

ValueCountFrequency (%) 
-1100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII6087100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e70211.5%
 
a63110.4%
 
i5669.3%
 
n4888.0%
 
r4347.1%
 
l4146.8%
 
o3035.0%
 
t2233.7%
 
d1933.2%
 
y1682.8%
 
s1682.8%
 
h1402.3%
 
u1081.8%
 
c991.6%
 
m921.5%
 
A881.4%
 
C801.3%
 
M751.2%
 
b741.2%
 
D711.2%
 
g711.2%
 
S641.1%
 
R631.0%
 
L611.0%
 
B560.9%
 
Other values (27)65510.8%
 

last_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count961
Unique (%)96.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Van den Velde
 
3
Burgoine
 
3
Larose
 
2
Brettelle
 
2
Lavalde
 
2
Other values (956)
988
ValueCountFrequency (%) 
Van den Velde30.3%
 
Burgoine30.3%
 
Larose20.2%
 
Brettelle20.2%
 
Lavalde20.2%
 
Hatt20.2%
 
Fanstone20.2%
 
Aisthorpe20.2%
 
Rouchy20.2%
 
Giffin20.2%
 
Minshall20.2%
 
Perkins20.2%
 
Dobbs20.2%
 
Poolton20.2%
 
Goodyear20.2%
 
Eliet20.2%
 
Headon20.2%
 
Trethewey20.2%
 
Costi20.2%
 
Sturch20.2%
 
Brookz20.2%
 
Shoesmith20.2%
 
Hallt20.2%
 
Winward20.2%
 
Yearsley20.2%
 
Other values (936)94894.8%
 

Length

Max length21
Median length7
Mean length7.022
Min length3

Overview of Unicode Properties

Unique unicode characters54
Unique unicode categories (?)5
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e72910.4%
 
a5427.7%
 
n5157.3%
 
r4676.7%
 
o4606.6%
 
l4216.0%
 
i4196.0%
 
t3735.3%
 
s3254.6%
 
d2133.0%
 
c1832.6%
 
h1832.6%
 
u1642.3%
 
y1592.3%
 
m1482.1%
 
B1241.8%
 
k1121.6%
 
g1121.6%
 
b1001.4%
 
w951.4%
 
S941.3%
 
C941.3%
 
M801.1%
 
p711.0%
 
D691.0%
 
Other values (29)77011.0%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter595084.7%
 
Uppercase Letter104414.9%
 
Space Separator170.2%
 
Other Punctuation100.1%
 
Dash Punctuation1< 0.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
B12411.9%
 
S949.0%
 
C949.0%
 
M807.7%
 
D696.6%
 
P615.8%
 
H585.6%
 
A525.0%
 
G514.9%
 
R444.2%
 
W403.8%
 
L403.8%
 
F393.7%
 
T353.4%
 
K333.2%
 
E323.1%
 
O262.5%
 
V222.1%
 
J151.4%
 
N141.3%
 
I90.9%
 
Y60.6%
 
U30.3%
 
Q20.2%
 
Z10.1%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e72912.3%
 
a5429.1%
 
n5158.7%
 
r4677.8%
 
o4607.7%
 
l4217.1%
 
i4197.0%
 
t3736.3%
 
s3255.5%
 
d2133.6%
 
c1833.1%
 
h1833.1%
 
u1642.8%
 
y1592.7%
 
m1482.5%
 
k1121.9%
 
g1121.9%
 
b1001.7%
 
w951.6%
 
p711.2%
 
v581.0%
 
f490.8%
 
z390.7%
 
x100.2%
 
j2< 0.1%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
17100.0%
 

Most frequent Other Punctuation characters

ValueCountFrequency (%) 
'10100.0%
 

Most frequent Dash Punctuation characters

ValueCountFrequency (%) 
-1100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin699499.6%
 
Common280.4%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e72910.4%
 
a5427.7%
 
n5157.4%
 
r4676.7%
 
o4606.6%
 
l4216.0%
 
i4196.0%
 
t3735.3%
 
s3254.6%
 
d2133.0%
 
c1832.6%
 
h1832.6%
 
u1642.3%
 
y1592.3%
 
m1482.1%
 
B1241.8%
 
k1121.6%
 
g1121.6%
 
b1001.4%
 
w951.4%
 
S941.3%
 
C941.3%
 
M801.1%
 
p711.0%
 
D691.0%
 
Other values (26)74210.6%
 

Most frequent Common characters

ValueCountFrequency (%) 
1760.7%
 
'1035.7%
 
-13.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII7022100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e72910.4%
 
a5427.7%
 
n5157.3%
 
r4676.7%
 
o4606.6%
 
l4216.0%
 
i4196.0%
 
t3735.3%
 
s3254.6%
 
d2133.0%
 
c1832.6%
 
h1832.6%
 
u1642.3%
 
y1592.3%
 
m1482.1%
 
B1241.8%
 
k1121.6%
 
g1121.6%
 
b1001.4%
 
w951.4%
 
S941.3%
 
C941.3%
 
M801.1%
 
p711.0%
 
D691.0%
 
Other values (29)77011.0%
 

gender
Categorical

Distinct count3
Unique (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Female
513
Male
470
U
 
17
ValueCountFrequency (%) 
Female51351.3%
 
Male47047.0%
 
U171.7%
 

Length

Max length6
Median length6
Mean length4.975
Min length1

Overview of Unicode Properties

Unique unicode characters7
Unique unicode categories (?)2
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
e149630.1%
 
a98319.8%
 
l98319.8%
 
F51310.3%
 
m51310.3%
 
M4709.4%
 
U170.3%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter397579.9%
 
Uppercase Letter100020.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
F51351.3%
 
M47047.0%
 
U171.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e149637.6%
 
a98324.7%
 
l98324.7%
 
m51312.9%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin4975100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e149630.1%
 
a98319.8%
 
l98319.8%
 
F51310.3%
 
m51310.3%
 
M4709.4%
 
U170.3%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII4975100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
e149630.1%
 
a98319.8%
 
l98319.8%
 
F51310.3%
 
m51310.3%
 
M4709.4%
 
U170.3%
 
Distinct count100
Unique (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.836
Minimum0
Maximum99
Zeros9
Zeros (%)0.9%
Memory size7.9 KiB

Quantile statistics

Minimum0
5-th percentile5
Q126.75
median51
Q372
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation27.79668613
Coefficient of variation (CV)0.5577631858
Kurtosis-1.088048884
Mean49.836
Median Absolute Deviation (MAD)22.5
Skewness-0.06562186172
Sum49836
Variance772.6557598
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
60202.0%
 
59181.8%
 
70171.7%
 
42171.7%
 
37161.6%
 
11161.6%
 
47151.5%
 
84141.4%
 
62141.4%
 
57141.4%
 
67141.4%
 
79141.4%
 
30131.3%
 
15131.3%
 
71131.3%
 
64131.3%
 
7131.3%
 
44131.3%
 
5131.3%
 
46121.2%
 
83121.2%
 
82121.2%
 
25121.2%
 
50121.2%
 
94121.2%
 
Other values (75)64864.8%
 
ValueCountFrequency (%) 
090.9%
 
180.8%
 
290.9%
 
390.9%
 
4101.0%
 
5131.3%
 
6101.0%
 
7131.3%
 
870.7%
 
950.5%
 
ValueCountFrequency (%) 
9990.9%
 
9860.6%
 
97111.1%
 
9690.9%
 
9580.8%
 
94121.2%
 
9390.9%
 
9250.5%
 
9180.8%
 
9060.6%
 

DOB
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count958
Unique (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26060.673
Minimum14039
Maximum37314
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum14039
5-th percentile15560.3
Q121106
median26397
Q330526.25
95-th percentile35952.7
Maximum37314
Range23275
Interquartile range (IQR)9420.25

Descriptive statistics

Standard deviation6241.119342
Coefficient of variation (CV)0.2394841968
Kurtosis-0.9544311444
Mean26060.673
Median Absolute Deviation (MAD)5007.5
Skewness-0.01649317203
Sum26060673
Variance38951570.64
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
2324830.3%
 
2761020.2%
 
3464520.2%
 
2878920.2%
 
3492420.2%
 
3179220.2%
 
3384320.2%
 
2392620.2%
 
2906420.2%
 
3389020.2%
 
1927220.2%
 
1517820.2%
 
2843720.2%
 
3670220.2%
 
2883820.2%
 
2850520.2%
 
2594420.2%
 
2410920.2%
 
2679720.2%
 
3443920.2%
 
3412220.2%
 
3572620.2%
 
1888820.2%
 
1659920.2%
 
1874820.2%
 
Other values (933)94994.9%
 
ValueCountFrequency (%) 
1403910.1%
 
1404010.1%
 
1409710.1%
 
1412210.1%
 
1412310.1%
 
1412510.1%
 
1413310.1%
 
1416910.1%
 
1419310.1%
 
1421310.1%
 
ValueCountFrequency (%) 
3731410.1%
 
3727310.1%
 
3726010.1%
 
3725410.1%
 
3718110.1%
 
3716110.1%
 
3710710.1%
 
3706310.1%
 
3699810.1%
 
3699710.1%
 

Age
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count958
Unique (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.151173921867084
Minimum18.3201410451548
Maximum82.087264332826
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum18.32014105
5-th percentile22.04973009
Q136.91671639
median48.22973009
Q362.7256205
95-th percentile77.91931913
Maximum82.08726433
Range63.76712329
Interquartile range (IQR)25.80890411

Descriptive statistics

Standard deviation17.0989571
Coefficient of variation (CV)0.3478850195
Kurtosis-0.9544311444
Mean49.15117392
Median Absolute Deviation (MAD)13.71917808
Skewness0.01649317203
Sum49151.17392
Variance292.3743339
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
56.8571273530.3%
 
25.6324698120.2%
 
54.999593120.2%
 
49.4708259820.2%
 
69.188634220.2%
 
68.6050725520.2%
 
53.9283602220.2%
 
24.8680862520.2%
 
45.5146615920.2%
 
22.6708259820.2%
 
64.61055220.2%
 
49.1831547420.2%
 
69.1858944720.2%
 
75.073565720.2%
 
27.0653465220.2%
 
55.3502780320.2%
 
40.9228807720.2%
 
29.9146615920.2%
 
41.5420588520.2%
 
27.7009629620.2%
 
42.4543876220.2%
 
44.9064424220.2%
 
27.8297300920.2%
 
67.7502780320.2%
 
68.8023328320.2%
 
Other values (933)94994.9%
 
ValueCountFrequency (%) 
18.3201410510.1%
 
18.4324698110.1%
 
18.4680862510.1%
 
18.4845246110.1%
 
18.6845246110.1%
 
18.7393191310.1%
 
18.8872643310.1%
 
19.0078122810.1%
 
19.1858944710.1%
 
19.188634210.1%
 
ValueCountFrequency (%) 
82.0872643310.1%
 
82.0845246110.1%
 
81.9283602210.1%
 
81.8598670710.1%
 
81.8571273510.1%
 
81.8516478910.1%
 
81.8297300910.1%
 
81.7310999510.1%
 
81.6653465210.1%
 
81.61055210.1%
 
Distinct count9
Unique (%)0.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Manufacturing
246
Financial Services
239
Health
171
Retail
101
Property
78
Other values (4)
165
ValueCountFrequency (%) 
Manufacturing24624.6%
 
Financial Services23923.9%
 
Health17117.1%
 
Retail10110.1%
 
Property787.8%
 
IT606.0%
 
Entertainment393.9%
 
Telecommunications343.4%
 
Argiculture323.2%
 

Length

Max length18
Median length13
Mean length11.347
Min length2

Overview of Unicode Properties

Unique unicode characters29
Unique unicode categories (?)3
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a131511.6%
 
i120310.6%
 
n115510.2%
 
e10068.9%
 
c8247.3%
 
t7796.9%
 
r7446.6%
 
u5905.2%
 
l5775.1%
 
g2782.4%
 
s2732.4%
 
M2462.2%
 
f2462.2%
 
F2392.1%
 
2392.1%
 
S2392.1%
 
v2392.1%
 
H1711.5%
 
h1711.5%
 
o1461.3%
 
m1070.9%
 
R1010.9%
 
T940.8%
 
P780.7%
 
p780.7%
 
Other values (4)2091.8%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter980986.4%
 
Uppercase Letter129911.4%
 
Space Separator2392.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
M24618.9%
 
F23918.4%
 
S23918.4%
 
H17113.2%
 
R1017.8%
 
T947.2%
 
P786.0%
 
I604.6%
 
E393.0%
 
A322.5%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a131513.4%
 
i120312.3%
 
n115511.8%
 
e100610.3%
 
c8248.4%
 
t7797.9%
 
r7447.6%
 
u5906.0%
 
l5775.9%
 
g2782.8%
 
s2732.8%
 
f2462.5%
 
v2392.4%
 
h1711.7%
 
o1461.5%
 
m1071.1%
 
p780.8%
 
y780.8%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
239100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1110897.9%
 
Common2392.1%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a131511.8%
 
i120310.8%
 
n115510.4%
 
e10069.1%
 
c8247.4%
 
t7797.0%
 
r7446.7%
 
u5905.3%
 
l5775.2%
 
g2782.5%
 
s2732.5%
 
M2462.2%
 
f2462.2%
 
F2392.2%
 
S2392.2%
 
v2392.2%
 
H1711.5%
 
h1711.5%
 
o1461.3%
 
m1071.0%
 
R1010.9%
 
T940.8%
 
P780.7%
 
p780.7%
 
y780.7%
 
Other values (3)1311.2%
 

Most frequent Common characters

ValueCountFrequency (%) 
239100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII11347100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a131511.6%
 
i120310.6%
 
n115510.2%
 
e10068.9%
 
c8247.3%
 
t7796.9%
 
r7446.6%
 
u5905.2%
 
l5775.1%
 
g2782.4%
 
s2732.4%
 
M2462.2%
 
f2462.2%
 
F2392.1%
 
2392.1%
 
S2392.1%
 
v2392.1%
 
H1711.5%
 
h1711.5%
 
o1461.3%
 
m1070.9%
 
R1010.9%
 
T940.8%
 
P780.7%
 
p780.7%
 
Other values (4)2091.8%
 

wealth_segment
Categorical

Distinct count3
Unique (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Mass Customer
508
High Net Worth
251
Affluent Customer
241
ValueCountFrequency (%) 
Mass Customer50850.8%
 
High Net Worth25125.1%
 
Affluent Customer24124.1%
 

Length

Max length17
Median length13
Mean length14.215
Min length13

Overview of Unicode Properties

Unique unicode characters21
Unique unicode categories (?)3
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
s176512.4%
 
t149210.5%
 
12518.8%
 
e12418.7%
 
o10007.0%
 
r10007.0%
 
u9907.0%
 
C7495.3%
 
m7495.3%
 
M5083.6%
 
a5083.6%
 
h5023.5%
 
f4823.4%
 
H2511.8%
 
i2511.8%
 
g2511.8%
 
N2511.8%
 
W2511.8%
 
A2411.7%
 
l2411.7%
 
n2411.7%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1071375.4%
 
Uppercase Letter225115.8%
 
Space Separator12518.8%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
C74933.3%
 
M50822.6%
 
H25111.2%
 
N25111.2%
 
W25111.2%
 
A24110.7%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
s176516.5%
 
t149213.9%
 
e124111.6%
 
o10009.3%
 
r10009.3%
 
u9909.2%
 
m7497.0%
 
a5084.7%
 
h5024.7%
 
f4824.5%
 
i2512.3%
 
g2512.3%
 
l2412.2%
 
n2412.2%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
1251100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1296491.2%
 
Common12518.8%
 

Most frequent Latin characters

ValueCountFrequency (%) 
s176513.6%
 
t149211.5%
 
e12419.6%
 
o10007.7%
 
r10007.7%
 
u9907.6%
 
C7495.8%
 
m7495.8%
 
M5083.9%
 
a5083.9%
 
h5023.9%
 
f4823.7%
 
H2511.9%
 
i2511.9%
 
g2511.9%
 
N2511.9%
 
W2511.9%
 
A2411.9%
 
l2411.9%
 
n2411.9%
 

Most frequent Common characters

ValueCountFrequency (%) 
1251100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII14215100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
s176512.4%
 
t149210.5%
 
12518.8%
 
e12418.7%
 
o10007.0%
 
r10007.0%
 
u9907.0%
 
C7495.3%
 
m7495.3%
 
M5083.6%
 
a5083.6%
 
h5023.5%
 
f4823.4%
 
H2511.8%
 
i2511.8%
 
g2511.8%
 
N2511.8%
 
W2511.8%
 
A2411.7%
 
l2411.7%
 
n2411.7%
 

deceased_indicator
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
N
1000
ValueCountFrequency (%) 
N1000100.0%
 

Length

Max length1
Median length1
Mean length1
Min length1

Overview of Unicode Properties

Unique unicode characters1
Unique unicode categories (?)1
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
N1000100.0%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter1000100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N1000100.0%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1000100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
N1000100.0%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII1000100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
N1000100.0%
 

owns_car
Boolean

Distinct count2
Unique (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
No
507
Yes
493
ValueCountFrequency (%) 
No50750.7%
 
Yes49349.3%
 

tenure
Real number (ℝ≥0)

Distinct count23
Unique (%)2.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.388
Minimum0
Maximum22
Zeros2
Zeros (%)0.2%
Memory size7.9 KiB

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile20
Maximum22
Range22
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.037144908
Coefficient of variation (CV)0.442320417
Kurtosis-0.8128152156
Mean11.388
Median Absolute Deviation (MAD)4
Skewness0.07089079797
Sum11388
Variance25.37282883
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
9797.9%
 
13747.4%
 
11686.8%
 
10636.3%
 
12616.1%
 
7606.0%
 
5606.0%
 
17595.9%
 
15585.8%
 
8555.5%
 
14545.4%
 
16494.9%
 
6454.5%
 
18363.6%
 
4363.6%
 
19343.4%
 
3262.6%
 
21242.4%
 
20222.2%
 
2151.5%
 
22121.2%
 
180.8%
 
020.2%
 
ValueCountFrequency (%) 
020.2%
 
180.8%
 
2151.5%
 
3262.6%
 
4363.6%
 
5606.0%
 
6454.5%
 
7606.0%
 
8555.5%
 
9797.9%
 
ValueCountFrequency (%) 
22121.2%
 
21242.4%
 
20222.2%
 
19343.4%
 
18363.6%
 
17595.9%
 
16494.9%
 
15585.8%
 
14545.4%
 
13747.4%
 

address
Categorical

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
415 Rockefeller Trail
 
1
79 Manufacturers Plaza
 
1
33652 Lyons Alley
 
1
6 Meadow Ridge Pass
 
1
4 Randy Street
 
1
Other values (995)
995
ValueCountFrequency (%) 
415 Rockefeller Trail10.1%
 
79 Manufacturers Plaza10.1%
 
33652 Lyons Alley10.1%
 
6 Meadow Ridge Pass10.1%
 
4 Randy Street10.1%
 
344 Darwin Junction10.1%
 
4 Arapahoe Terrace10.1%
 
8491 Pennsylvania Crossing10.1%
 
2978 Mccormick Center10.1%
 
7 Michigan Hill10.1%
 
989 Graedel Terrace10.1%
 
5 Southridge Hill10.1%
 
58231 Tomscot Plaza10.1%
 
7 Hazelcrest Place10.1%
 
656 Fuller Street10.1%
 
8427 Moulton Place10.1%
 
7 Elgar Road10.1%
 
4 Bluestem Pass10.1%
 
34 Jay Hill10.1%
 
0627 Golf Center10.1%
 
544 Pawling Road10.1%
 
0 Larry Park10.1%
 
7 Johnson Hill10.1%
 
902 Westend Lane10.1%
 
8 Fieldstone Street10.1%
 
Other values (975)97597.5%
 

Length

Max length26
Median length18
Mean length17.582
Min length9

Overview of Unicode Properties

Unique unicode characters60
Unique unicode categories (?)4
Unique unicode scripts (?)2
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
210812.0%
 
e13947.9%
 
a11526.6%
 
r10726.1%
 
n8845.0%
 
o7874.5%
 
i7484.3%
 
l7324.2%
 
t6453.7%
 
s4692.7%
 
P3371.9%
 
63301.9%
 
d3181.8%
 
73171.8%
 
03151.8%
 
23051.7%
 
u3031.7%
 
33001.7%
 
12941.7%
 
52931.7%
 
c2871.6%
 
92791.6%
 
y2771.6%
 
82731.6%
 
C2721.5%
 
Other values (35)309117.6%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter1040159.2%
 
Decimal Number297516.9%
 
Space Separator210812.0%
 
Uppercase Letter209811.9%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
633011.1%
 
731710.7%
 
031510.6%
 
230510.3%
 
330010.1%
 
12949.9%
 
52939.8%
 
92799.4%
 
82739.2%
 
42699.0%
 

Most frequent Space Separator characters

ValueCountFrequency (%) 
2108100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
P33716.1%
 
C27213.0%
 
S1678.0%
 
M1426.8%
 
A1426.8%
 
T1145.4%
 
R1135.4%
 
D1125.3%
 
L1085.1%
 
H994.7%
 
W944.5%
 
B864.1%
 
J552.6%
 
G502.4%
 
F391.9%
 
N351.7%
 
E351.7%
 
V321.5%
 
K281.3%
 
O231.1%
 
U60.3%
 
I50.2%
 
Q40.2%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
e139413.4%
 
a115211.1%
 
r107210.3%
 
n8848.5%
 
o7877.6%
 
i7487.2%
 
l7327.0%
 
t6456.2%
 
s4694.5%
 
d3183.1%
 
u3032.9%
 
c2872.8%
 
y2772.7%
 
g2322.2%
 
k2122.0%
 
h1751.7%
 
v1591.5%
 
w1521.5%
 
m1191.1%
 
f750.7%
 
p700.7%
 
z650.6%
 
b490.5%
 
x190.2%
 
j5< 0.1%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin1249971.1%
 
Common508328.9%
 

Most frequent Common characters

ValueCountFrequency (%) 
210841.5%
 
63306.5%
 
73176.2%
 
03156.2%
 
23056.0%
 
33005.9%
 
12945.8%
 
52935.8%
 
92795.5%
 
82735.4%
 
42695.3%
 

Most frequent Latin characters

ValueCountFrequency (%) 
e139411.2%
 
a11529.2%
 
r10728.6%
 
n8847.1%
 
o7876.3%
 
i7486.0%
 
l7325.9%
 
t6455.2%
 
s4693.8%
 
P3372.7%
 
d3182.5%
 
u3032.4%
 
c2872.3%
 
y2772.2%
 
C2722.2%
 
g2321.9%
 
k2121.7%
 
h1751.4%
 
S1671.3%
 
v1591.3%
 
w1521.2%
 
M1421.1%
 
A1421.1%
 
m1191.0%
 
T1140.9%
 
Other values (24)12089.7%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII17582100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
210812.0%
 
e13947.9%
 
a11526.6%
 
r10726.1%
 
n8845.0%
 
o7874.5%
 
i7484.3%
 
l7324.2%
 
t6453.7%
 
s4692.7%
 
P3371.9%
 
63301.9%
 
d3181.8%
 
73171.8%
 
03151.8%
 
23051.7%
 
u3031.7%
 
33001.7%
 
12941.7%
 
52931.7%
 
c2871.6%
 
92791.6%
 
y2771.6%
 
82731.6%
 
C2721.5%
 
Other values (35)309117.6%
 

postcode
Real number (ℝ≥0)

Distinct count522
Unique (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3019.227
Minimum2000
Maximum4879
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum2000
5-th percentile2046
Q12209
median2800
Q33845.5
95-th percentile4508.05
Maximum4879
Range2879
Interquartile range (IQR)1636.5

Descriptive statistics

Standard deviation848.8957672
Coefficient of variation (CV)0.2811632803
Kurtosis-1.142498217
Mean3019.227
Median Absolute Deviation (MAD)635.5
Skewness0.4921079268
Sum3019227
Variance720624.0235
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
223290.9%
 
214590.9%
 
216870.7%
 
275070.7%
 
302970.7%
 
420770.7%
 
214870.7%
 
397770.7%
 
206660.6%
 
435060.6%
 
303060.6%
 
212160.6%
 
316360.6%
 
202660.6%
 
277060.6%
 
217060.6%
 
256060.6%
 
225050.5%
 
450050.5%
 
232350.5%
 
211450.5%
 
223050.5%
 
381050.5%
 
416550.5%
 
455650.5%
 
Other values (497)84684.6%
 
ValueCountFrequency (%) 
200010.1%
 
200730.3%
 
200920.2%
 
201040.4%
 
201140.4%
 
201510.1%
 
201620.2%
 
201710.1%
 
201930.3%
 
202210.1%
 
ValueCountFrequency (%) 
487910.1%
 
485210.1%
 
481820.2%
 
481720.2%
 
481430.3%
 
474410.1%
 
474020.2%
 
472010.1%
 
471710.1%
 
471010.1%
 

state
Categorical

Distinct count3
Unique (%)0.3%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
NSW
506
VIC
266
QLD
228
ValueCountFrequency (%) 
NSW50650.6%
 
VIC26626.6%
 
QLD22822.8%
 

Length

Max length3
Median length3
Mean length3
Min length3

Overview of Unicode Properties

Unique unicode characters9
Unique unicode categories (?)1
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
N50616.9%
 
S50616.9%
 
W50616.9%
 
V2668.9%
 
I2668.9%
 
C2668.9%
 
Q2287.6%
 
L2287.6%
 
D2287.6%
 

Most occurring categories

ValueCountFrequency (%) 
Uppercase Letter3000100.0%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
N50616.9%
 
S50616.9%
 
W50616.9%
 
V2668.9%
 
I2668.9%
 
C2668.9%
 
Q2287.6%
 
L2287.6%
 
D2287.6%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin3000100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
N50616.9%
 
S50616.9%
 
W50616.9%
 
V2668.9%
 
I2668.9%
 
C2668.9%
 
Q2287.6%
 
L2287.6%
 
D2287.6%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII3000100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
N50616.9%
 
S50616.9%
 
W50616.9%
 
V2668.9%
 
I2668.9%
 
C2668.9%
 
Q2287.6%
 
L2287.6%
 
D2287.6%
 

country
Categorical

CONSTANT
REJECTED

Distinct count1
Unique (%)0.1%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
Australia
1000
ValueCountFrequency (%) 
Australia1000100.0%
 

Length

Max length9
Median length9
Mean length9
Min length9

Overview of Unicode Properties

Unique unicode characters8
Unique unicode categories (?)2
Unique unicode scripts (?)1
Unique unicode blocks (?)1
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
a200022.2%
 
A100011.1%
 
u100011.1%
 
s100011.1%
 
t100011.1%
 
r100011.1%
 
l100011.1%
 
i100011.1%
 

Most occurring categories

ValueCountFrequency (%) 
Lowercase Letter800088.9%
 
Uppercase Letter100011.1%
 

Most frequent Uppercase Letter characters

ValueCountFrequency (%) 
A1000100.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
a200025.0%
 
u100012.5%
 
s100012.5%
 
t100012.5%
 
r100012.5%
 
l100012.5%
 
i100012.5%
 

Most occurring scripts

ValueCountFrequency (%) 
Latin9000100.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
a200022.2%
 
A100011.1%
 
u100011.1%
 
s100011.1%
 
t100011.1%
 
r100011.1%
 
l100011.1%
 
i100011.1%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII9000100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
a200022.2%
 
A100011.1%
 
u100011.1%
 
s100011.1%
 
t100011.1%
 
r100011.1%
 
l100011.1%
 
i100011.1%
 

property_valuation
Real number (ℝ≥0)

Distinct count12
Unique (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.397
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum1
5-th percentile2
Q16
median8
Q39
95-th percentile11
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.758804452
Coefficient of variation (CV)0.3729626134
Kurtosis-0.3712799928
Mean7.397
Median Absolute Deviation (MAD)2
Skewness-0.5576112079
Sum7397
Variance7.611002002
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
917317.3%
 
816216.2%
 
713813.8%
 
1011611.6%
 
6707.0%
 
11626.2%
 
5575.7%
 
4535.3%
 
3515.1%
 
12464.6%
 
2424.2%
 
1303.0%
 
ValueCountFrequency (%) 
1303.0%
 
2424.2%
 
3515.1%
 
4535.3%
 
5575.7%
 
6707.0%
 
713813.8%
 
816216.2%
 
917317.3%
 
1011611.6%
 
ValueCountFrequency (%) 
12464.6%
 
11626.2%
 
1011611.6%
 
917317.3%
 
816216.2%
 
713813.8%
 
6707.0%
 
5575.7%
 
4535.3%
 
3515.1%
 

Rank
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count324
Unique (%)32.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.819
Minimum1
Maximum1000
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum1
5-th percentile50
Q1250
median500
Q3750.25
95-th percentile948.15
Maximum1000
Range999
Interquartile range (IQR)500.25

Descriptive statistics

Standard deviation288.8109971
Coefficient of variation (CV)0.5789895675
Kurtosis-1.200749808
Mean498.819
Median Absolute Deviation (MAD)250
Skewness0.001245859611
Sum498819
Variance83411.79203
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
760131.3%
 
259121.2%
 
45590.9%
 
90490.9%
 
38690.9%
 
13390.9%
 
70080.8%
 
82080.8%
 
31280.8%
 
53680.8%
 
70870.7%
 
91370.7%
 
10470.7%
 
81070.7%
 
8970.7%
 
25270.7%
 
16670.7%
 
18170.7%
 
69170.7%
 
57570.7%
 
42070.7%
 
83260.6%
 
44460.6%
 
19560.6%
 
87160.6%
 
Other values (299)80680.6%
 
ValueCountFrequency (%) 
130.3%
 
420.2%
 
620.2%
 
820.2%
 
1020.2%
 
1210.1%
 
1310.1%
 
1420.2%
 
1610.1%
 
1720.2%
 
ValueCountFrequency (%) 
100010.1%
 
99730.3%
 
99610.1%
 
99420.2%
 
99310.1%
 
98850.5%
 
98710.1%
 
98520.2%
 
98320.2%
 
97940.4%
 

Value
Real number (ℝ≥0)

HIGH CORRELATION

Distinct count319
Unique (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88171409375
Minimum0.34
Maximum1.71875
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB

Quantile statistics

Minimum0.34
5-th percentile0.45655625
Q10.64953125
median0.86
Q31.075
95-th percentile1.40625
Maximum1.71875
Range1.37875
Interquartile range (IQR)0.42546875

Descriptive statistics

Standard deviation0.293524508
Coefficient of variation (CV)0.3329021392
Kurtosis-0.4524719248
Mean0.8817140937
Median Absolute Deviation (MAD)0.213125
Skewness0.4299025249
Sum881.7140937
Variance0.08615663677
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.6375131.3%
 
1.0625121.2%
 
0.9111.1%
 
0.94562590.9%
 
0.8590.9%
 
0.590.9%
 
1.237590.9%
 
0.892590.9%
 
0.687580.8%
 
0.58437580.8%
 
1.0280.8%
 
0.82580.8%
 
0.9137570.7%
 
0.69062570.7%
 
0.49937570.7%
 
1.07312570.7%
 
1.287570.7%
 
0.79687570.7%
 
0.587570.7%
 
0.6870.7%
 
1.15812570.7%
 
1.312570.7%
 
1.17570.7%
 
0.54187560.6%
 
1.02560.6%
 
Other values (294)79879.8%
 
ValueCountFrequency (%) 
0.3410.1%
 
0.35730.3%
 
0.37410.1%
 
0.382520.2%
 
0.39110.1%
 
0.399550.5%
 
0.410.1%
 
0.40820.2%
 
0.4120.2%
 
0.416540.4%
 
ValueCountFrequency (%) 
1.7187530.3%
 
1.70312520.2%
 
1.67187520.2%
 
1.6562520.2%
 
1.64062520.2%
 
1.62510.1%
 
1.60937510.1%
 
1.5937520.2%
 
1.562510.1%
 
1.54687520.2%
 

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

Sample

First rows

first_namelast_namegenderpast_3_years_bike_related_purchasesDOBAgejob_industry_categorywealth_segmentdeceased_indicatorowns_cartenureaddresspostcodestatecountryproperty_valuationRankValue
0ChickieBristerMale862101362.980415ManufacturingMass CustomerNYes1445 Shopko Center4500QLDAustralia611.718750
1MorlyGeneryMale692564950.279045PropertyMass CustomerNNo1614 Mccormick Park2113NSWAustralia1111.718750
2ArdelisForresterFemale102726945.840689Financial ServicesAffluent CustomerNNo105 Colorado Crossing3505VICAustralia511.718750
3LucineStuttFemale642888341.418771ManufacturingAffluent CustomerNYes5207 Annamark Plaza4814QLDAustralia141.703125
4MelindaHadleeFemale342400654.780415Financial ServicesAffluent CustomerNNo19115 Montana Place2093NSWAustralia941.703125
5DruciBrandliFemale391874769.188634EntertainmentHigh Net WorthNYes2289105 Pearson Terrace4075QLDAustralia761.671875
6RutledgeHalltMale232803943.731100Financial ServicesMass CustomerNNo87 Nevada Crossing2620NSWAustralia761.671875
7NancieVianFemale742666047.509182RetailMass CustomerNYes1085 Carioca Point4814QLDAustralia581.656250
8DuffKarlowiczMale502641748.174936ManufacturingMass CustomerNYes5717 West Drive2200NSWAustralia1081.656250
9BarthelDocketMale723126134.903703ITMass CustomerNYes1780 Scofield Junction4151QLDAustralia5101.640625

Last rows

first_namelast_namegenderpast_3_years_bike_related_purchasesDOBAgejob_industry_categorywealth_segmentdeceased_indicatorowns_cartenureaddresspostcodestatecountryproperty_valuationRankValue
990JermaineBagshaweFemale601985866.144799PropertyMass CustomerNYes9260 Briar Crest Drive4209QLDAustralia69880.3995
991BryanJachtymMale592716446.128360ManufacturingMass CustomerNYes1556 Moland Crossing3356VICAustralia39880.3995
992RenieLaundonFemale322701646.533840EntertainmentMass CustomerNYes81 Shelley Pass4118QLDAustralia39930.3910
993WeidarEtheridgeMale382174460.977675Financial ServicesMass CustomerNYes60535 Jay Point2422NSWAustralia49940.3825
994DathaFishburnFemale153305629.985894RetailMass CustomerNNo36 Caliangt Way3079VICAustralia129940.3825
995FerdinandRomanettiMale602183060.742059Financial ServicesAffluent CustomerNNo92 Sloan Way2200NSWAustralia79960.3740
996BurkWortleyMale223718118.684525HealthMass CustomerNNo604 Union Crossing2196NSWAustralia109970.3570
997MelloneyTembyFemale172000265.750278Financial ServicesAffluent CustomerNYes1533475 Fair Oaks Junction4702QLDAustralia29970.3570
998DickieCubbiniMale301934567.550278Financial ServicesMass CustomerNYes1957666 Victoria Way4215QLDAustralia29970.3570
999SylasDuffillMale562036464.758497PropertyMass CustomerNYes1421875 Grover Drive2010NSWAustralia910000.3400